Deep neural networks—a form of artificial intelligence used in everything from speech recognition to image identification to self-driving cars—have demonstrated mastery of tasks once thought uniquely human.
Filter News
Area of Research
- Biological Systems (3)
- Biology and Environment (3)
- Building Technologies (1)
- Clean Energy (17)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (6)
- Energy Frontier Research Centers (1)
- Fusion and Fission (2)
- Materials (13)
- Materials for Computing (2)
- Mathematics (1)
- National Security (1)
- Neutron Science (5)
- Quantum information Science (7)
- Supercomputing (54)
- Transportation Systems (1)
News Type
Scientists from the Critical Materials Institute used the Titan supercomputer and Eos computing cluster at ORNL to analyze designer molecules that could increase the yield of rare earth elements found in bastnaesite, an important mineral
Using the Oak Ridge Leadership Computing Facility’s (OLCF’s) new leadership-class supercomputer, the IBM AC922 Summit, a team from the US Department of Energy
In a project leveraging computer vision, machine learning, and sensors, Oak Ridge National Laboratory scientists are working with private company GRIDSMART Technologies, Inc.
A unique combination of imaging tools and atomic-level simulations has allowed a team led by the Department of Energy’s Oak Ridge National Laboratory to solve a longstanding debate about the properties of a promising material that can harvest energy fro
Biorefinery facilities are critical to fueling the economy—converting wood chips, grass clippings, and other biological materials into fuels, heat, power, and chemicals.
Computer scientists at Oak Ridge National Laboratory have developed an open source software platform that allows quantum programs to run on multiple quantum computers regardless of their unique architecture.
Scientists at the Department of Energy’s Oak Ridge National Laboratory induced a two-dimensional material to cannibalize itself for atomic “building blocks” from which stable structures formed.
New mathematical models developed by the Department of Energy’s Oak Ridge National Laboratory with collaborators at Sam Houston State University and the University of Chicago can help guide changes to the layout of poor urban neighborhoods